Journal article
Asynchronous Fault Detection Observer for 2-D Markov Jump Systems
IEEE Transactions on Cybernetics, Vol.52(12), pp.13623-13634
2022
Abstract
In this article, the problem of the asynchronous fault detection (FD) observer design is discussed for 2-D Markov jump systems (MJSs) expressed by a Roesser model. In general, the FD observer cannot work synchronously with the system, that is, the mode of the observer varies with the mode of the system in line with some conditional transitional probabilities. For dealing with this difficult point, a hidden Markov model (HMM) is employed. Then, combining the H∞ attenuation index and Extra close brace or missing open brace increscent index, a multiobjective solution to the FD problem is formed. In terms of linear matrix inequality technology, sufficient conditions are gained to guarantee the existence of the asynchronous FD. Simultaneously, an asynchronous FD algorithm is generated to acquire the optimal performance indices. Finally, a numerical example concerned with the Darboux equation is demonstrated to exhibit the soundness of the developed approach.
Details
- Title
- Asynchronous Fault Detection Observer for 2-D Markov Jump Systems
- Authors/Creators
- P. Cheng (Author/Creator) - Anhui UniversityH. Wang (Author/Creator) - Murdoch UniversityV. Stojanovic (Author/Creator) - University of KragujevacS. He (Author/Creator) - Anhui UniversityK. Shi (Author/Creator) - Chengdu UniversityX. Luan (Author/Creator) - Jiangnan UniversityF. Liu (Author/Creator) - Jiangnan UniversityC. Sun (Author/Creator) - Anhui University
- Publication Details
- IEEE Transactions on Cybernetics, Vol.52(12), pp.13623-13634
- Publisher
- IEEE
- Identifiers
- 991005541534307891
- Copyright
- © 2022 IEEE
- Murdoch Affiliation
- School of Engineering and Energy; Centre for Water, Energy and Waste
- Language
- English
- Resource Type
- Journal article
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- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.29 Automation & Control Systems
- 4.29.30 Robust Control Systems
- Web Of Science research areas
- Automation & Control Systems
- Computer Science, Artificial Intelligence
- Computer Science, Cybernetics
- ESI research areas
- Computer Science